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Content
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Dan Romero pfp
Dan Romero
@dwr.eth
People don’t want to see uninteresting replies and casts. Best way to solve for that is weight historical inbound engagement for a user, i.e. PageRank-like score for every user. Disproportionally hurts new accounts. Making it harder to get started.
103 replies
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Jonny Mack pfp
Jonny Mack
@nonlinear.eth
maybe this could be counterbalanced by an algo boost for new accounts with interesting casts?
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Dan Romero pfp
Dan Romero
@dwr.eth
How do you know what new casts are interesting before they have engagement?
14 replies
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Jonny Mack pfp
Jonny Mack
@nonlinear.eth
1) display top-level casts and replies to a subset* of power badge holders 2) if no engagement, display to even fewer pb holders until eventually hiding completely 3) if engagement, display to more pb holders until eventually giving an algo boost to highly engaging new comers *could be opt-in & include warps bonus
3 replies
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Kyle McCollom pfp
Kyle McCollom
@kyle
Have to test them out to see. Just like TikTok and Reels show you a new vid every ~10 videos to feed the algo. Probably harder to measure with casts/tweets though - TikTok’s full screen takeover has its advantage.
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Les Greys pfp
Les Greys
@les
maybe, ask an llm?
2 replies
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Lazydev 🔵 XD 🎩 pfp
Lazydev 🔵 XD 🎩
@0xlelouch.eth
Maybe they get a grace period or for like first 20 casts/replies? Uninteresting content can be detected with that sample size I think 🤔
2 replies
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Jarrett ⦠ 🎩 pfp
Jarrett ⦠ 🎩
@jarrettr
People suggesting llm “ai” aren’t really taking into account that the types on content that people consider “interesting” change constantly 😅
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Brent Fitzgerald pfp
Brent Fitzgerald
@bf
Maybe that’s what you’re paying for when you first sign up: the benefit of the doubt.
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sahil pfp
sahil
@sahil
this is a real challenge. but we can try to capture upcoming users/casts based on a low threshold of engagement from highly ranked accounts 'Discovery' is a problem across all clients. an experiment-> create a 'Discovery feed' for upcoming/new users to give them visibility/chance to get initial engagement. cc @woj.eth
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grant 🌈 🎩 🐸 pfp
grant 🌈 🎩 🐸
@grunt.eth
What your frens say and what they upvote
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TTBoyCrypto pfp
TTBoyCrypto
@ttboycrypto
Pondering
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helladj🇺🇸 pfp
helladj🇺🇸
@helladj.eth
ai
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Adam Finlayson pfp
Adam Finlayson
@nullfame
Find a way to reward old users for promoting new actors rather than only each other
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DeFinn pfp
DeFinn
@definn.eth
Not easy but doable, specially with AI. Sentence structure, presence of images, a/b tests.
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puolo pfp
puolo
@puolo
We need to decouple the link between what's engaging and what's interesting. Many uninteresting casts (like the generic "GM" ones) receive a lot of engagement, but often border on spam. It's time to introduce an independent metric for measuring 'interestingness', something that might now be achievable with AI tools.
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Felipe Argento pfp
Felipe Argento
@felipeargento
If you had infinite compute you could train an LLM on existing casts to estimate how interesting a new cast would be. For accounts younger than x days, thats the score you'd use. After that, you're back with the usual engagement metrics 😛 (but you prob don't have infinite compute, so its a very hard problem)
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